twitterreport (version 0.15.11)

tw_network: Creates graph (directed)

Description

Using the output of tw_extract and the author of the message, creates a graph

Usage

tw_network(source, target, only.from = FALSE, exclude.self = TRUE, min.interact = 1, group = NULL, size = NULL, ignore.case = TRUE)

Arguments

source

Vector of screen_name

target

List of vectors of mentions (output from tw_extract)

only.from

Whether to filter the links to those only where source and target are in the source vector

exclude.self

Whether to exclude self-links

min.interact

Minimun number of interactions to consider (links below this number will be excluded)

group

Data frame with two columns: name & group

size

A data frame with two columns: name & size

ignore.case

When TRUE converts all of source and target to lower-case.

Value

A two-element list containing two data.frames, nodes and links of class tw_Class_graph (to be used with plot.tw_Class_graph. The nodes data.frame includes two columns, id, name and group. The links data.frame includes three columns, source, target and value.

Details

The value column in the links dataframe (see Value) is computed as the number of connexions between the source and the target.

Examples

## Not run: 
# # Loading sample data and retrieving mentions
# data(senate_tweets)
# mentions <- tw_extract(senate_tweets$text, obj="mention")$mention
# 
# # Preparing data for size. Here we are just setting a random size for
# # each vertex.
# usrs<- tolower(senate_tweets$screen_name)
# size <- data.frame(name=unique(usrs),
#                    size=exp(runif(length(unique(usrs)))*5))
# 
# # Creating the graph
# graph <- tw_network(
#   usrs, mentions, min.interact = 5, size=size)
# 
# # Visualizing the graph
# plot(graph)
# ## End(Not run)